> The mistake in dismissing the thinking is in believing that complex problems are irreducible complex, they are not.
This is almost certainly false. Current state of the art in complexity theory is that some complex problems are irreducible. The expectation is that P != NP and that means there are irreducible problems. Assuming that P=NP is almost, but not quite, like assuming perpetual motion.
Sure but thats not what we are discussing here. We are discussing things in everyday live not mathematical complexity.
The claim was that the interesting problems are much more complex and thus can't be solved easily by machine learning.My point is that most of these complex problems aren't really anything but simpler problems gaining complexity by connection of simpler problems not by being irreducible.
Any engineer will tell you thats exactly how you solve complex problem, by breaking them into smaller ones.
The way we model the world is with mathematical models and the complexity bounds on those mathematical models are actually statements about irreducibility of those problems to simpler ones.
In fact, the model is lower bound approximation to the real thing and if the approximation has certain complexity then the real thing will be much worse. That is the whole point of having a model. You approximate reality with something simpler and hope the solution to the simpler model problem is close enough to the solution of the real problem.
So what real world problems are you talking about? I'd say much of engineering and science is coming up with these solvable models for real world phenomena and so far no one has cracked the nut on coming up with a simple solution to problems that have complicated models. You might argue AGI is not one of those problems but that's a different argument.
This is almost certainly false. Current state of the art in complexity theory is that some complex problems are irreducible. The expectation is that P != NP and that means there are irreducible problems. Assuming that P=NP is almost, but not quite, like assuming perpetual motion.